A narrative review of digital pathology and artificial intelligence: focusing on lung cancer.

ABSTRACT: The emergence of whole slide imaging technology allows for pathology diagnosis on a computer screen. The applications of digital pathology are expanding, from supporting remote institutes suffering from a shortage of pathologists to routine use in daily diagnosis including that of lung cancer. Through practice and research large archival databases of digital pathology images have been developed that will facilitate the development of artificial intelligence (AI) methods for image analysis. Currently, several AI applications have been reported in the field of lung cancer; these include the segmentation of carcinoma foci, detection of lymph node metastasis, counting of tumor cells, and prediction of gene mutations. Although the integration of AI algorithms into clinical practice remains a si

SUBMITTER: Sakamoto T 

PROVIDER: S-EPMC7653145 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature